-
1
-
-
84986275007
-
Learning to match aerial images with deep attentive architectures
-
H. Altwaijry, E. Trulls, J. Hays, P. Fua, and S. Belongie. Learning to match aerial images with deep attentive architectures. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016.
-
(2016)
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
-
-
Altwaijry, H.1
Trulls, E.2
Hays, J.3
Fua, P.4
Belongie, S.5
-
2
-
-
84986296991
-
Netvlad: Cnn architecture for weakly supervised place recognition
-
R. Arandjelovic, P. Gronat, A. Torii, T. Pajdla, and J. Sivic. Netvlad: Cnn architecture for weakly supervised place recognition. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 5297-5307, 2016.
-
(2016)
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
, pp. 5297-5307
-
-
Arandjelovic, R.1
Gronat, P.2
Torii, A.3
Pajdla, T.4
Sivic, J.5
-
4
-
-
84947222450
-
Learning visual similarity for product design with convolutional neural networks
-
S. Bell and K. Bala. Learning visual similarity for product design with convolutional neural networks. ACM Transactions on Graphics (TOG), 34 (4):98, 2015.
-
(2015)
ACM Transactions on Graphics (TOG)
, vol.34
, Issue.4
, pp. 98
-
-
Bell, S.1
Bala, K.2
-
5
-
-
77951165246
-
Large scale online learning of image similarity through ranking
-
G. Chechik, V. Sharma, U. Shalit, and S. Bengio. Large scale online learning of image similarity through ranking. The Journal of Machine Learning Research, 11:1109-1135, 2010.
-
(2010)
The Journal of Machine Learning Research
, vol.11
, pp. 1109-1135
-
-
Chechik, G.1
Sharma, V.2
Shalit, U.3
Bengio, S.4
-
6
-
-
84989919839
-
The placing task at mediaeval 2015
-
Wurzen, Germany, 14-15 September 2015; Ceur Workshop Proceedings 1436, 2015. CEUR
-
J. Choi, C. Hauff, O. Van Laere, and B. Thomee. The placing task at mediaeval 2015. In MediaEval 2015, Wurzen, Germany, 14-15 September 2015; Ceur Workshop Proceedings 1436, 2015. CEUR, 2015.
-
(2015)
MediaEval 2015
-
-
Choi, J.1
Hauff, C.2
Van Laere, O.3
Thomee, B.4
-
7
-
-
84990055093
-
Deep learning the city: Quantifying urban perception at a global scale
-
Springer
-
A. Dubey, N. Naik, D. Parikh, R. Raskar, and C. A. Hidalgo. Deep learning the city: Quantifying urban perception at a global scale. In European Conference on Computer Vision, pages 196-212. Springer, 2016.
-
(2016)
European Conference on Computer Vision
, pp. 196-212
-
-
Dubey, A.1
Naik, N.2
Parikh, D.3
Raskar, R.4
Hidalgo, C.A.5
-
8
-
-
84990038542
-
Deep image retrieval: Learning global representations for image search
-
Springer
-
A. Gordo, J. Almazán, J. Revaud, and D. Larlus. Deep image retrieval: Learning global representations for image search. In European Conference on Computer Vision, pages 241-257. Springer, 2016.
-
(2016)
European Conference on Computer Vision
, pp. 241-257
-
-
Gordo, A.1
Almazán, J.2
Revaud, J.3
Larlus, D.4
-
9
-
-
33845594569
-
Dimensionality reduction by learning an invariant mapping
-
IEEE
-
R. Hadsell, S. Chopra, and Y. LeCun. Dimensionality reduction by learning an invariant mapping. In Computer vision and pattern recognition, 2006 IEEE computer society conference on, volume 2, pages 1735-1742. IEEE, 2006.
-
(2006)
Computer Vision and Pattern Recognition, 2006 IEEE Computer Society Conference on
, vol.2
, pp. 1735-1742
-
-
Hadsell, R.1
Chopra, S.2
LeCun, Y.3
-
12
-
-
84973866028
-
Cross-domain image retrieval with a dual attribute-aware ranking network
-
J. Huang, R. S. Feris, Q. Chen, and S. Yan. Cross-domain image retrieval with a dual attribute-aware ranking network. In Proceedings of the IEEE International Conference on Computer Vision, pages 1062-1070, 2015.
-
(2015)
Proceedings of the IEEE International Conference on Computer Vision
, pp. 1062-1070
-
-
Huang, J.1
Feris, R.S.2
Chen, Q.3
Yan, S.4
-
13
-
-
56749104169
-
Hamming embedding and weak geometric consistency for large scale image search
-
Springer
-
H. Jegou, M. Douze, and C. Schmid. Hamming embedding and weak geometric consistency for large scale image search. In European conference on computer vision, pages 304-317. Springer, 2008.
-
(2008)
European Conference on Computer Vision
, pp. 304-317
-
-
Jegou, H.1
Douze, M.2
Schmid, C.3
-
15
-
-
84925425713
-
Predicting geoinformative attributes in large-scale image collections using convolutional neural networks
-
IEEE
-
S. Lee, H. Zhang, and D. J. Crandall. Predicting geoinformative attributes in large-scale image collections using convolutional neural networks. In Applications of Computer Vision (WACV), 2015 IEEE Winter Conference on, pages 550-557. IEEE, 2015.
-
(2015)
Applications of Computer Vision (WACV), 2015 IEEE Winter Conference on
, pp. 550-557
-
-
Lee, S.1
Zhang, H.2
Crandall, D.J.3
-
16
-
-
77953228638
-
Landmark classification in large-scale image collections
-
IEEE
-
Y. Li, D. J. Crandall, and D. P. Huttenlocher. Landmark classification in large-scale image collections. In Computer vision, 2009 IEEE 12th international conference on, pages 1957-1964. IEEE, 2009.
-
(2009)
Computer Vision, 2009 IEEE 12th International Conference on
, pp. 1957-1964
-
-
Li, Y.1
Crandall, D.J.2
Huttenlocher, D.P.3
-
17
-
-
84887356836
-
Cross-view image geolocalization
-
IEEE
-
T.-Y. Lin, S. Belongie, and J. Hays. Cross-view image geolocalization. In Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on, pages 891-898. IEEE, 2013.
-
(2013)
Computer Vision and Pattern Recognition (CVPR), 22013 IEEE Conference on
, pp. 891-898
-
-
Lin, T.-Y.1
Belongie, S.2
Hays, J.3
-
18
-
-
84959245070
-
Learning deep representations for ground-to-aerial geolocalization
-
T.-Y. Lin, Y. Cui, S. Belongie, and J. Hays. Learning deep representations for ground-to-aerial geolocalization. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 5007-5015, 2015.
-
(2015)
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
, pp. 5007-5015
-
-
Lin, T.-Y.1
Cui, Y.2
Belongie, S.3
Hays, J.4
-
21
-
-
34948903793
-
Object retrieval with large vocabularies and fast spatial matching
-
IEEE
-
J. Philbin, O. Chum, M. Isard, J. Sivic, and A. Zisserman. Object retrieval with large vocabularies and fast spatial matching. In Computer Vision and Pattern Recognition, 2007. CVPR'07. IEEE Conference on, pages 1-8. IEEE, 2007.
-
(2007)
Computer Vision and Pattern Recognition, 2007. CVPR'07. IEEE Conference on
, pp. 1-8
-
-
Philbin, J.1
Chum, O.2
Isard, M.3
Sivic, J.4
Zisserman, A.5
-
22
-
-
51949105132
-
Lost in quantization: Improving particular object retrieval in large scale image databases
-
IEEE
-
J. Philbin, O. Chum, M. Isard, J. Sivic, and A. Zisserman. Lost in quantization: Improving particular object retrieval in large scale image databases. In Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on, pages 1-8. IEEE, 2008.
-
(2008)
Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on
, pp. 1-8
-
-
Philbin, J.1
Chum, O.2
Isard, M.3
Sivic, J.4
Zisserman, A.5
-
23
-
-
84990032835
-
Cnn image retrieval learns from bow: Unsupervised fine-tuning with hard examples
-
Springer
-
F. Radenovíc, G. Tolias, and O. Chum. Cnn image retrieval learns from bow: Unsupervised fine-tuning with hard examples. In European Conference on Computer Vision, pages 3-20. Springer, 2016.
-
(2016)
European Conference on Computer Vision
, pp. 3-20
-
-
Radenovíc, F.1
Tolias, G.2
Chum, O.3
-
25
-
-
84979979971
-
The sketchy database: Learning to retrieve badly drawn bunnies
-
P. Sangkloy, N. Burnell, C. Ham, and J. Hays. The sketchy database: learning to retrieve badly drawn bunnies. ACM Transactions on Graphics (TOG), 35 (4):119, 2016.
-
(2016)
ACM Transactions on Graphics (TOG)
, vol.35
, Issue.4
, pp. 119
-
-
Sangkloy, P.1
Burnell, N.2
Ham, C.3
Hays, J.4
-
27
-
-
84925302081
-
Accurate geo-registration by ground-to-aerial image matching
-
IEEE
-
Q. Shan, C. Wu, B. Curless, Y. Furukawa, C. Hernandez, and S. M. Seitz. Accurate geo-registration by ground-to-aerial image matching. In 3D Vision (3DV), 2014 2nd International Conference on, volume 1, pages 525-532. IEEE, 2014.
-
(2014)
3D Vision (3DV), 2014 2nd International Conference on
, vol.1
, pp. 525-532
-
-
Shan, Q.1
Wu, C.2
Curless, B.3
Furukawa, Y.4
Hernandez, C.5
Seitz, S.M.6
-
29
-
-
84937522268
-
Going deeper with convolutions
-
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich. Going deeper with convolutions. In Computer Vision and Pattern Recognition (CVPR), 2015.
-
(2015)
Computer Vision and Pattern Recognition (CVPR)
-
-
Szegedy, C.1
Liu, W.2
Jia, Y.3
Sermanet, P.4
Reed, S.5
Anguelov, D.6
Erhan, D.7
Vanhoucke, V.8
Rabinovich, A.9
-
30
-
-
84986296808
-
Rethinking the inception architecture for computer vision
-
C. Szegedy, V. Vanhoucke, S. Ioffe, J. Shlens, and Z. Wojna. Rethinking the inception architecture for computer vision. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 2818-2826, 2016.
-
(2016)
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
, pp. 2818-2826
-
-
Szegedy, C.1
Vanhoucke, V.2
Ioffe, S.3
Shlens, J.4
Wojna, Z.5
-
31
-
-
84911198048
-
Deepface: Closing the gap to human-level performance in face verification
-
IEEE
-
Y. Taigman, M. Yang, M. Ranzato, and L. Wolf. Deepface: Closing the gap to human-level performance in face verification. In Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on, pages 1701-1708. IEEE, 2014.
-
(2014)
Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on
, pp. 1701-1708
-
-
Taigman, Y.1
Yang, M.2
Ranzato, M.3
Wolf, L.4
-
32
-
-
84957922397
-
Yfcc100m: The new data in multimedia research
-
B. Thomee, D. A. Shamma, G. Friedland, B. Elizalde, K. Ni, D. Poland, D. Borth, and L.-J. Li. Yfcc100m: The new data in multimedia research. Communications of the ACM, 59 (2):64-73, 2016.
-
(2016)
Communications of the ACM
, vol.59
, Issue.2
, pp. 64-73
-
-
Thomee, B.1
Shamma, D.A.2
Friedland, G.3
Elizalde, B.4
Ni, K.5
Poland, D.6
Borth, D.7
Li, L.-J.8
-
34
-
-
84990046042
-
Localizing and orienting street views using overhead imagery
-
Springer
-
N. N. Vo and J. Hays. Localizing and orienting street views using overhead imagery. In European Conference on Computer Vision, pages 494-509. Springer, 2016.
-
(2016)
European Conference on Computer Vision
, pp. 494-509
-
-
Vo, N.N.1
Hays, J.2
-
35
-
-
84911376543
-
Learning fine-grained image similarity with deep ranking
-
IEEE
-
J. Wang, Y. Song, T. Leung, C. Rosenberg, J. Wang, J. Philbin, B. Chen, and Y. Wu. Learning fine-grained image similarity with deep ranking. In Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on, pages 1386-1393. IEEE, 2014.
-
(2014)
Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on
, pp. 1386-1393
-
-
Wang, J.1
Song, Y.2
Leung, T.3
Rosenberg, C.4
Wang, J.5
Philbin, J.6
Chen, B.7
Wu, Y.8
-
37
-
-
84973862384
-
Wide-area image geolocalization with aerial reference imagery
-
S. Workman, R. Souvenir, and N. Jacobs. Wide-area image geolocalization with aerial reference imagery. In ICCV 2015, 2015.
-
(2015)
ICCV 2015
-
-
Workman, S.1
Souvenir, R.2
Jacobs, N.3
-
38
-
-
85039897385
-
Large-scale visual geo-localization
-
A. R. Zamir, A. Hakeem, L. Van Gool, M. Shah, and R. Szeliski. Large-scale visual geo-localization. Advances in computer vision and pattern recognition (, 2016.
-
(2016)
Advances in Computer Vision and Pattern Recognition
-
-
Zamir, A.R.1
Hakeem, A.2
Van Gool, L.3
Shah, M.4
Szeliski, R.5
-
39
-
-
78149346965
-
Accurate image localization based on google maps street view
-
Springer
-
A. R. Zamir and M. Shah. Accurate image localization based on google maps street view. In Computer Vision-ECCV 2010, pages 255-268. Springer, 2010.
-
(2010)
Computer Vision-ECCV 2010
, pp. 255-268
-
-
Zamir, A.R.1
Shah, M.2
-
40
-
-
84937964578
-
Learning deep features for scene recognition using places database
-
B. Zhou, A. Lapedriza, J. Xiao, A. Torralba, and A. Oliva. Learning deep features for scene recognition using places database. In Advances in Neural Information Processing Systems, pages 487-495, 2014.
-
(2014)
Advances in Neural Information Processing Systems
, pp. 487-495
-
-
Zhou, B.1
Lapedriza, A.2
Xiao, J.3
Torralba, A.4
Oliva, A.5
|